Ebay, Incorporated

Swati Agarwal

Richard Dean Henderson

Aditya Arora

Gurudatta Horantur Shivaswamy

Brian M Johnson

Nicholas Whyte

Jennifer M Dante

Amit Basu

Thomas Pan

Pradeep Sankaranthi

Davide Libenzi

Andrew John Melnick

Jagadish Nallapaneni

Carson Hoffacker

Gang He

Mel Sun

Methods and system for item matching are described. In one embodiment, compatibility-based text for an item may be accessed. A compatibility identifier may be identified based on the compatibility-based text. The compatibility identifier may be associated with an item cluster. The compatibility identifier may be used to identify a plurality of matching items. A result may be provided based on identification of the plurality of matching items. Additional methods and systems are disclosed.

Item matching

Methods and systems to build and utilize a search infrastructure are described. The system generates, by a first indexing subsystem, full indexes of data and sends the full indexes to a plurality of query node servers via a distribution system. The system generates, mini-indexes associated with the full indexes and sends the mini-indexes to the plurality of query node servers. The system causes the plurality of query nodes to update indexing information based on the full indexes and the mini-indexes.

Next generation near real-time indexing

Methods and system for item matching are described. In one embodiment, compatibility-based text for an item may be accessed. A compatibility identifier may be identified based on the compatibility-based text. The compatibility identifier may be associated with an item duster. The compatibility identifier may be used to identify a plurality of matching items. A result may be provided based on identification of the plurality of matching items. Additional methods and systems are disclosed.

Methods and systems to build and utilize a search infrastructure are described. The system generates index information components in real-time based on a database that is time-stamped. The system updates index information at a plurality of query node servers based on the index information components. A query engine receives a search query from a client machine and identifies search results based on the query and the index information. The system communicates the search results, over the network, to the client machine.

Systems and methods to build and utilize a search infrastructure

Methods and systems to build and utilize a search infrastructure are described. The system generates index information, including document updates and indexes. The system receives event notifications as the document updates are received and accumulates the index information until published. A query engine receives a search query from a client machine and identifies search results based on the query and the index information. The system communicates the search results, over the network, to the client machine.

Systems and methods to identify synonyms are described. The system generates demand information based on a first plurality of queries. Further, the system identifies a second plurality of queries as a first cluster of queries from the first plurality of queries based on the demand information, and identifies a first synonym set based on an association map that comprises a first plurality of constraints identified from the second plurality of queries. Finally, the system stores the first synonym set in a synonym dictionary.

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Sunnyvale, CA, United States of America

Swati Agarwal